Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Speaker: Richard Socher, Chief Scientist, Salesforce

If you want to check out the slides used by the speaker follow this link.

During this session, Richard Socher discussed the state of AI today across different industries including robotics and healthcare and where he sees the biggest potential for AI in the future.

Some of the key takeaways from the session are:

AI is impacting several industries and has provided incredible advancements (radiology, cancer treatment, etc) but there’s limitations. Fully autonomous movement in robotics and self-conscious AI are still far away.

In theory, with the right political structure, AI could be used to cover all basic necessities including food, housing and security.

It’s important to think about diversity in AI in terms of: the kinds of problems we’re working to solve, the kinds of people working on those, and the data sets the algorithms are trained on.

About Richard Socher:
Richard Socher is Chief Scientist at Salesforce where he leads the company’s AI research efforts. Prior to Salesforce, he was the CEO and founder of MetaMind, an AI startup acquired by Salesforce. Socher has received numerous awards and grants including the Distinguished Application Paper Award at the ICML, the Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship, and the GigaOM Structure Award. Socher’s PhD from Stanford on deep learning with Chris Manning and Andrew Ng won the best Stanford CS PhD thesis award.

Artificial intelligence has learned to probe the minds of other computers

Anyone who’s had a frustrating interaction with Siri or Alexa knows that digital assistants just don’t get humans. What they need is what psychologists call theory of mind, an awareness of others’ beliefs and desires…Read more

From talking robots to self-driving cars, the evolution of modern technology owes a great deal to sci-fi pop culture… Read more

Improving Connectomics by an Order of Magnitude

The field of connectomics aims to comprehensively map the structure of the neuronal networks that are found in the nervous system, in order to better understand how the brain works…Read more

Artificial intelligence could be our saviour, according to the CEO of Google

“AI is probably the most important thing humanity has ever worked on. I think of it as something more profound than electricity or fire,” he said…Read more

African Master’s In Machine Intelligence

Facebook is pleased to announce its support for the creation of a new master’s degree program “African Masters in Machine Intelligence” at the African Institute for Mathematical Sciences (AIMS)… Read more

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our Applied AI Digest Review – arecap of all the major AI news and trends of 2017.

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of authentication, leveraging AI to prevent and detect threats and security around databases that collect our information.

“The Machine.”

When most venture capitalists want approval to make a new investment, they go to their partners. When venture capitalists at GV do it, they go to something called “The Machine.”​… Read more.

Crowdsourced Sentiment Analysis – Applications in Social Media and Customer Service

Over the last 3-4 years, sentiment analysis has become a more and more common term – understood by marketers and businesspeople alike… Read more

Improving Connectomics by an Order of Magnitude

The field of connectomics aims to comprehensively map the structure of the neuronal networks that are found in the nervous system, in order to better understand how the brain works…Read more

LETHAL AUTONOMOUS WEAPONS PLEDGE

Artificial intelligence (AI) is poised to play an increasing role in military systems. There is an urgent opportunity and necessity for citizens, policymakers, and leaders to distinguish between acceptable and unacceptable uses of AI… Read more

Kawasaki Robotics offers insight into how industrial robots are made

How are industrial robots built? In this article, Kawasaki Robotics, one of the world’s largest industrial robot makers, provides a guide on the components and the movement of robot arms… Read more

How would you teach AI to be kind?

We’re supporting EthicsNet and asking the public for help on how we can best to teach machines about kindness, in creating a dataset of pro-social behaviours. This could be an important step on the road to AI safety, making various proposed algorithms trainable and deployable.

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our Applied AI Digest Review – arecap of all the major AI news and trends of 2017.

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of authentication, leveraging AI to prevent and detect threats and security around databases that collect our information.

Fear artificial stupidity, not artificial intelligence

Stephen Hawking thinks computers may surpass human intelligence and take over the world. We won’t ever be silicon slaves, insists an AI expert… Read more

To make Curiosity (et al.) more curious, NASA and ESA smarten up AI in space

NASA’s Opportunity Mars rover has done many great things in its decade-plus of service—but initially, it rolled 600 feet past one of the initiative’s biggest discoveries: the Block Island meteorite… Read more

Artificial intelligence will be net UK jobs creator, finds report

Artificial intelligence is set to create more than 7m new UK jobs in healthcare, science and education by 2037, more than making up for the jobs lost in manufacturing and other sectors through automation, according to a report…Read more

Facial recognition technology: The need for public regulation and corporate responsibility

All tools can be used for good or ill. Even a broom can be used to sweep the floor or hit someone over the head. The more powerful the tool, the greater the benefit or damage it can cause… ​Read more

Medical AI Safety: We have a problem.

This is the start of a new blog series on the most important topic I will probably ever write about: medical AI safety. This is a timely discussion, because we are approaching a tipping point… Read more

How would you teach AI to be kind?

We’re supporting EthicsNet nad asking the public for help on how we can best to teach machines about kindness, in creating a dataset of pro-social behaviours. This could be an important step on the road to AI safety, making various proposed algorithms trainable and deployable.

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our Applied AI Digest Review – arecap of all the major AI news and trends of 2017.

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of authentication, leveraging AI to prevent and detect threats and security around databases that collect our information.

Applied Artificial Intelligence Digest

Why businesses fail at machine learning

I’d like to let you in on a secret: when people say ‘machine learning’ it sounds like there’s only one discipline here. There are two, and if businesses don’t understand the difference, they can experience a world of trouble…Read more

This Is Why All Companies Need An AI Strategy Today

Artificial Intelligence (AI) is fundamentally changing how businesses operate across all sectors, including manufacturing, healthcare, IT, and transportation… Read more

Great Power, Great Responsibility: The 2018 Big Data & AI Landscape

Just as last year, the data tech ecosystem has continued to “fire on all cylinders”. If nothing else, data is probably even more front and center in 2018, in both business and personal conversations. Some of the reasons, however, have changed… Read more

An Overview of National AI Strategies

The race to become the global leader in artificial intelligence (AI) has officially begun. In the past fifteen months, Canada, Japan, Singapore, China, the UAE, Finland, Denmark, France, the UK, the EU Commission, South Korea, and India have all released strategies to promote the use and development of AI…Read more

After Self-Driving Cars Get Billions, Trucks Get Second Look

The self-driving truck market is getting more congested. Three new startups—including one whose existence hasn’t been disclosed before—are developing autonomous truck-related software… Read more

Job Opportunities:

BootstrapLabs has an ongoing jobs page that includes opportunities from our 20+ AI portfolio companies. Check out new openings below!

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our Applied AI Digest Review – arecap of all the major AI news and trends of 2017.

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator: Debra J. Farber, Data Privacy & Security Advisor

Speakers:

Will Summerlin, Founder, Pinn Technologies

Chris Merz, VP Security & Decision Products, Mastercard

Sean Kanuck, Director of Cyber, Space and Future Conflict, IISS

During this session, the panelists discussed the future of authentication, leveraging AI to prevent and detect threats and security around databases that collect our information.

Some of the key takeaways from the session are:

AI is the only way to figure out and prevent future cyber attacks, it’s impossible for people to process the abundance of data required for the analysis.

81% of data breaches in 2017 were perpetuated due to a stolen password, sensor data and biometric information are the key to authentication in the future.

It’s important to invest in management and security for databases, all biometric puzzles turn into cybersecurity issues if the database that gathers the information can be compromised.

About Debra J. Farber:
Debra J. Farber is a data privacy and information security executive and entrepreneur with 14 years of data strategy, operations, public policy, training, product, and compliance experience. Debra served as Sr. Director, Global Public Policy (Security & Privacy) at Visa where she oversaw a portfolio of issues, including: privacy, cybercrime, cybersecurity, product security, risk and more. Debra held privacy and security leadership roles at IBM, American Express, Farber Strategies and more. Debra holds a BA in English from Binghamton University, a JD from Brooklyn Law School and is completing her Executive Certificate of Business Excellence from UC Berkeley.

About Will Summerlin:
Will Summerlin is the Founder and CEO of Pinn, a cybersecurity company using AI to solve the digital identity crisis. He’s also an advisor to Story Ventures.

About Chris Merz:
Dr. Chris Merz is the vice president of Security and Decision Products for the Enterprise Security Solutions product team at Mastercard. He is responsible for decision science and associated data strategies for real-time, transaction-level decision and fraud monitoring solutions. Since joining Mastercard in 2001, Dr. Merz has applied machine learning and data science techniques to applications in cardholder segmentation, loyalty solutions, recommender systems, and fraud detection. He holds a PhD in Information and Computer Science from the University of California – Irvine, and is a recognized researcher in Machine Learning, with over 20 published conference and journal articles. He is also an adjunct professor at the Missouri University of Science and Technology since 2004.

About Sean Kanuck:
Sean serves as Director of the Future Conflict and Cyber Security program at the International Institute for Strategic Studies and Chair of the Research Advisory Group for the Global Commission on the Stability of Cyberspace. He advises governments, corporations, and entrepreneurs on the future of information technology. Sean served as the United States’ first National Intelligence Officer for Cyber Issues from 2011 to 2016. He has a decade of experience working in government including with the CIA’s Information Operations Center, the White House National Security Council, and more. Prior to government, Sean practiced law with Skadden Arps in New York, specializing in mergers and acquisitions, corporate finance, and banking. He holds degrees from Harvard University, the London School of Economics, and the University of Oslo. He also proudly serves as a Trustee of the Center for Excellence in Education in McLean, Virginia.

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in healthcare, the complexity of all stakeholders in the industry, the ROI impact of AI, and the differences between AI in healthcare startups and Big Pharma.

Industrial AI Applications – How Time Series and Sensor Data Improve Processes

Over the past decade, the industrial sector has seen major advancements in automation and robotics applications. Automation in both continuous process and discrete manufacturing, as well as the use of robots for repetitive tasks are both relatively standard in most large manufacturing operations (this is especially true in industries like automotive and electronics). Read more.

Wimbledon 2018: AI uses player emotions to edit highlights

Wimbledon and its digital partner IBM have fine-tuned their artificial intelligence (AI) systems this year to help automatically edit the top action. With an average of three matches per court, per day, video from matches can add up to hundreds of hours of footage. AI-analysis uses crowd noise, player actions and match data to edit video. Read more.

A machine has figured out Rubik’s Cube all by itself

Yet another bastion of human skill and intelligence has fallen to the onslaught of the machines. A new kind of deep-learning machine has taught itself to solve a Rubik’s Cube without any human assistance. The milestone is significant because the new approach tackles an important problem in computer science—how to solve complex problems when help is minimal. Read more.

Insurers turn to artificial intelligence in war on fraud

From bogus claims to shady brokers, insurance fraud costs companies and their customers more than $40 billion a year, the FBI estimates. And that’s excluding medical insurance fraud, which is estimated by industry groups to cost tens of billions more. Read more.

Artificial Intelligence May Make Traffic Congestion a Thing of the Past

If you drive a car, you’ve probably found yourself waiting at a red light while the intersection sits empty. Artificial intelligence could make that—and other frustrating inefficiencies of city traffic—a thing of the past. For a sense of what the technology is capable of, consider that some research suggests artificial intelligence could allow networked autonomous vehicles… Read more.

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Speakers:

Dan Faggella, CEO, TechEmergence

Kevin Hua, Sr. Manager A.I./Machine Learning, Bayer

Carolina Garcia Rizo, Chief Business Officer, Just Biotherapeutics

During this session, the panelists discussed AI in healthcare, the complexity of all stakeholders in the industry, the ROI impact of AI, and the differences between AI in healthcare startups and Big Pharma.

Some of the key takeaways from the session are:

AI can be applied to many parts of the healthcare process from drug discovery to design, manufacturing and clinical trials, but the key is to find places where you have good quality, clean data.

Only one in ten companies leveraging AI in Healthcare meet the requirements to have meaningful impact in the space.

To convince executives to pull the trigger on these technologies, you need to demonstrate how AI will bring value to different complex stakeholders: hospital management, doctors and nurses, pharmaceutical companies and patients.

About Dan Faggella:
Daniel Faggella is the Founder and CEO at TechEmergence, the only market research and company discovery platform focused exclusively on artificial intelligence and machine learning. Daniel is a serial entrepreneur and has grown and sold two previous companies. He is a graduate of University of Pennsylvania with a masters degree in cognitive science.

About Kevin Hua:
Dr. Kefeng (Kevin) Hua has 20 years of experience working in design and development of AI/Machine Learning applications in healthcare, insurance, banking, retails and manufacturing industries. He is currently a senior manager with the Digital Health Intelligence Group of Bayer, responsible for developing AI/ML applications. Prior to Bayer, he was a machine learning specialist at Deloitte Consulting and a research manager of AI at Center for Advanced Research of PwC. His work in analytics has won the Analytics Leadership Award from IU Kelley School of Business in 2014 and INFORMS Data Mining contest in 2008.

About Carolina Garcia Rizo:
Dr. Garcia-Rizo is the Chief Business Officer of Just Biotherapeutics, an AI-driven platform that brings Antibody-based molecules faster. Carolina has more than 15 years experience in the biopharma and diagnostics industry and worked at Thermo Fisher Scientific, Roche Molecular, Cepheid, MIT, and Max Planck Institute. Carolina has an MBA from MIT and a Ph.D. in Atomic and Molecular Physics at C.S.I.C., C.N.R.S. and UC Berkeley, where she was Fulbright Scholar.

AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.

Researchers developed an AI to detect DeepFakes

A team of researchers from the State University of New York (SUNY) recently developed a method for detecting whether the people in a video are AI-generated. It looks like DeepFakes could meet its match. Read more.

AI and the Economy

We review the evidence that artificial intelligence (AI) is having a large effect on the economy. Across a variety of statistics—including robotics shipments, AI startups, and patent counts—there is evidence of a large increase in AI-related activity. We also review recent research in this area which suggests that AI and robotics have the potential to increase productivity growth… Read more.

High-Level Group on Artificial Intelligence

Following an open selection process, the Commission has appointed 52 experts to a new High-Level Expert Group on Artificial Intelligence, comprising representatives from academia, civil society, as well as industry. The AI HLG will have as a general objective to support the implementation of the European strategy on AI. This will include the elaboration of recommendations on future AI-related policy development and on ethical, legal and societal issues related to AI, including socio-economic challenges. Read more.

This company tames killer robots

A seven-foot-tall robot arm moves in a blur, carrying a piece of metal about the size of a bowling ball from one workbench to another at superhuman speed. But when a human worker reaches for the piece, the robot goes into slow motion and then eventually stops. As soon as the person steps away, the robot speeds up again. Read more.

Could Artificial Intelligence Take the Art out of Medicine?

As health care becomes more complex, technological and data-driven, there’s a risk physicians will lose some of their autonomy. It has been said that the practice of medicine is both an art and a science. For example, different patients react differently to the same medication for the treatment of anxiety, and what works for one patient will not work for another. Read more.

China’s Eating Up US Drone Market; U.S. Troops At Risk

While Washington struggles to update its arms export policies, China is spreading its influence, one drone sale at a time. U.S. forces are at increasing risk as China and other nations sell more armed drones to anyone with the money to pay for them, and restrictive U.S. export policies may be making the situation worse, says a new report delivered to the Chairman of the Joint Chiefs. Read more.

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.

Machine Learning (Theory)

We are clearly not in a steady-state situation. Is this a bubble or a revolution? The answer surely includes a bit of revolution—the fields of vision and speech recognition have been turned over by great empirical successes created by deep neural architectures and more generally machine learning has found plentiful real-world uses. Read more.

Why Diversity in the Artificial Intelligence Sector Is Critical

Artificial intelligence offers limitless potential for the financial industry, but at Fortune‘s MPW International Summit on Tuesday Mastercard vice chairman Ann Cairns also called attention to some of its existential risks. Cairns had recently been in China, where she said it was clear to her that AI was taking off there in a big way—just as it has in Silicon Valley. Read more.

AI at Google: our principles

Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. Read more.

Chatbots Were the Next Big Thing: What Happened?

Chatbots were The Next Big Thing. Our hopes were sky high. Bright-eyed and bushy-tailed, the industry was ripe for a new era of innovation: it was time to start socializing with machines. And why wouldn’t they be? All the road signs pointed towards insane success… Read more.

Real-world AI

Unsure where or how AI applies to your company? The McKinsey Global Institute found more than 400 real-life examples where AI can improve longstanding business challenges. Read more.

Why the Future of Machine Learning is Tiny

When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have been convincing people that deep learning was a real revolution, not a fad, but there have been enough examples of shipping products that that question seems answered. Read more.

AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.